
MiniMax M2.5
The first open model to beat Sonnet made for productivity
About MiniMax M2.5
MiniMax M2.5 is a cutting-edge open-source AI model designed for enhanced productivity across a range of tasks. Built to outperform previous benchmarks like Sonnet, it delivers state-of-the-art performance in coding (SWE-Bench Verified 80.2%), search capabilities (BrowseComp 76.3%), and agentic tool-calling (BFCL 76.8%), making it an ideal choice for developers, researchers, and enterprise users. Its optimized architecture ensures 37% faster execution on complex tasks, enabling efficient handling of long-horizon workflows. With a competitive cost structure of around $1 per hour at 100 TPS, MiniMax M2.5 makes large-scale, scalable AI deployments economically feasible, opening new possibilities for autonomous agents and intensive automation. Its open-source nature encourages customization, transparency, and community-driven improvements, positioning it as a versatile and powerful tool in the AI ecosystem.
Screenshots



Pros
- ✓SOTA performance across multiple benchmarks
- ✓Open-source, highly customizable
- ✓Significantly faster execution for complex tasks
- ✓Cost-effective at scale (around $1/hour at 100 TPS)
- ✓Ideal for long-horizon, autonomous workflows
Cons
- ✗Requires technical expertise for setup and customization
- ✗Limited out-of-the-box user-friendly features for non-developers
- ✗Dependence on infrastructure for scaling and deployment
Use Cases
Pricing
Open source with a pay-as-you-go model costing around $1 per hour at 100 TPS, making it accessible for large-scale deployment without significant upfront investment.
Quick Info
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